Data Science for Social Good Summer Program Applications and Proposals
By Emily F. Keller
The Data Science for Social Good program at the University of Chicago is inviting applications to become fellows, mentors, and project partners for programs in Chicago, Charlotte, and Lisbon. The three-month program provides data science training in data mining, machine learning and big data, working with governments and nonprofits; with mentorship from industry and academia. Topical areas include education, health, energy, public safety, transportation, economic development and international development.
Applications are due January 31, 2018.
UC also offers year-round opportunities to become a post-doc, research assistant, data scientist, or project partner.
The UW eScience Institute, in collaboration with the Cascadia Urban Analytics Cooperative, is providing the fourth offering of its 10-week Data Science for Social Good program taking place from June 11 — August 17, 2018, in Seattle. The fellowship, modeled after programs at UC and Georgia Tech, is open to current graduate students and junior or senior undergraduate students. Accepted fellows will work on an interdisciplinary team to tackle real-world data science challenges using a range of tools and methods.
The UW Call for Proposals invites prospective project leads to submit short proposals for data-intensive research projects requiring collaboration in scalable data management, statistical analysis and machine learning, open source software development, cloud and cluster computing, and/or visualization. Projects are co-directed by the external project lead and one or more data scientists at the eScience Institute.
Fellowship applications are due February 12, 2018.
Project proposals are due February 25, 2018.